scholarly journals Sustainability of Traditional Rice Cultivation in Kerala, India—A Socio-Economic Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 980
Author(s):  
Jayasree Krishnankutty ◽  
Michael Blakeney ◽  
Rajesh K. Raju ◽  
Kadambot H. M. Siddique
Keyword(s):  
Function Analysis ◽  
Demographic Factors ◽  
Cost Effective ◽  
Multinomial Logit Model ◽  
Rice Cultivation ◽  
Key Factors ◽  
Support Mechanism ◽  
Traditional Cultivars ◽  
Socio Demographic Factors ◽  
Traditional Rice

Traditional rice cultivars and cultivation are on the decline in most rice-growing areas, mainly as a result of their low productivity. Packed with nutritionally, environmentally and locally superior qualities, traditional cultivars hold the key for sustainability in rice cultivation. This study explored the dynamics of traditional rice cultivation in Kerala, India. It examined the economic, institutional and socio demographic factors involved in the production and marketing of traditional rice. We employed a multinomial logit model and discriminant function analysis to extract the key factors governing farmers’ marketing behaviour, and various cost measures to study the economics of rice enterprises. The socio-demographic factors were analysed using descriptive statistical tools. Holding size and institutional support were the main factors governing the marketing behaviour of farmers. Even though traditional rice farming was not found to be cost-effective in implicit terms, it was remunerative when imputed personal labour and owned land costs were not considered. The study found that traditional farmers are ageing, have a lower education and use limited marketing channels. However, the majority of them were satisfied with their farm enterprise. By streamlining the market support mechanism and processing facilities, traditional rice would most likely gain momentum in key areas.

scholarly journals “Oh, You Shouldn’t Have!” Understanding Key Factors Impacting Cut Flowers Gifting Preferences in Germany

Horticulturae ◽  
2021 ◽  
Vol 7 (10) ◽  
pp. 368
Author(s):  
Meike Rombach ◽  
David L. Dean ◽  
Nicole J. Olynk Widmar ◽  
Vera Bitsch
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Demographic Factors ◽  
Cut Flower ◽  
Cut Flowers ◽  
Key Factors ◽  
Subjective Knowledge ◽  
Equation Modelling ◽  
Socio Demographic Factors ◽  
The Impact

Cut flower gifting preferences are relatively unexplored in Germany. This study proposes a model that investigates the impact of attitudinal, experiential, and socio-demographic factors on the cut flower gifting preferences of German consumers. For this purpose, an online survey with a representative sample of 978 German residents was conducted. Partial least squares structural equation modelling shows that active and passive engagement with plants and nature positively impact cut flower giving preferences through cut flower knowledge, cut flower fondness, and perceived versatility of cut flowers. For German women and men, the largest driver of cut flower giving preferences is the versatility of cut flowers. For women, cut flower fondness is the second largest driver of cut flower gifting preferences, whereas for men subjective knowledge was the second largest driver. Other socio-demographic factors (age, income, education) were not found to impact cut flower giving preferences.

ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

1970 ◽  
Vol 7 (2) ◽  
pp. 85-89
Author(s):  
Muhammad Irfan ◽  
Syed Mustansir Hussain Zaidi ◽  
Hira Fatima Waseem
Keyword(s):  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
Household Wealth ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Increased Risk ◽  
Multiple Indicator ◽  
Mother Education ◽  
Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

Prevalence and Socio-demographic Factors of Aggression among Medical College Students

2015 ◽  
Vol 4 (8) ◽  
Author(s):  
M. Mirzaei-Alavijeh ◽  
P. Hossini ◽  
S. Hayati ◽  
A. Aghaei ◽  
B. Karami-Matin
Keyword(s):  
College Students ◽  
Demographic Factors ◽  
Medical College ◽  
Socio Demographic Factors

Socio-demographic factors involved in the evolution of depression monitored in outpatient unit

Psihiatru ro ◽  
2018 ◽  
Vol 4 (51) ◽  
pp. 23
Author(s):  
Daniela Glăvan ◽  
Bogdan Stănia ◽  
Mihail Cristian Pîrlog ◽  
Ion Udriștoiu
Keyword(s):  
Demographic Factors ◽  
Outpatient Unit ◽  
Socio Demographic Factors

scholarly journals Socio-Demographic Factors Influencing the Use of Assistive Technology among Children with Disabilities in Malawi

2021 ◽  
Vol 18 (6) ◽  
pp. 3062
Author(s):  
Monica Jamali-Phiri ◽  
Ikenna D. Ebuenyi ◽  
Emma M. Smith ◽  
Juba Alyce Kafumba ◽  
Malcolm MacLachlan ◽  
...  
Keyword(s):  
Assistive Technology ◽  
Urban Areas ◽  
Structural Equation ◽  
Children With Disabilities ◽  
Unmet Need ◽  
Demographic Factors ◽  
Multiple Disabilities ◽  
Equation Modeling ◽  
Persons With Disabilities ◽  
Socio Demographic Factors

This paper aims to address the information gap on the influence of socio-demographic factors on access and utilization of Assistive Technology (AT) among children with disabilities in Malawi. Thus, it contributes towards the realization of the recommendations of the UN Convention on the Rights of Persons with disabilities and the development of a framework for creating an effective national AT policy. The paper used two statistically matched datasets, namely, the 2017 survey on Living conditions among persons with disabilities in Malawi and the 2015-16 Malawi Demographic and Health survey. Logistic regression and structural equation modeling techniques were utilized to assess the influence of socio-demographic factors on the use of AT among children with disabilities. The results indicate that there is a high level of unmet need for AT among young children aged 2 to 9 and those living in urban areas. The results further indicate that children with multiple disabilities have lower odds (OR = 0.924) of using AT for personal mobility compared to children with a single functional difficulty. These results entail that AT needs for children with multiple disabilities are not adequately addressed. Therefore, when developing policies on AT, younger children and those with multiple disabilities need to be specifically targeted.

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